Own Expression dataset(NOTE: You can downlaod expression images from google, or you can record your video make diffrent expression ,and converts into Grayscale images(For more accurate prediction))
Song dataset
What steps you have to follow??
Download my repository
Make 'Images' folder in your project ,make subfolder for emotions like Happy,sad,Angry.
Put Face_crop.py & haarcascade_frontalface_alt.xml in every type of image folder,ex : put this program in "happy' image folder and
run this program it will detect faces from images and convert it into grayscale and make a new images in same folder.
Make 'Songs' folder make subfolders for emotions and put Songs,Like Happy songs in happy folder.
After that you have to create model, for that copy code from code.txt file and open CMD in your project folder and paste it & enter
It will take training aaround 20-25 minutes so keep patience.
After training it will create two files retrained_graph.pb & retrained_labels.txt
Now run music_player_webcam.py (give proper path of songs and Mediaplayer according to your location in code)
If you want to fetch video from your mobile cam than use music_player_android.py,but you have to install IPWebcam app in your system
and replace your server URL with my URL
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